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FGLS and Heteroskedasticity Testing by hectorcflores1 is a document available to read on EtoBox.

What is FGLS and Heteroskedasticity Testing about?

1. Generalized least squares (GLS) and feasible GLS (FGLS) are methods to account for heteroskedasticity in regression models. FGLS involves estimating the variance function from OLS residuals and re-running the regression with weighted variables. 2. The Breusch-Pagan and White tests can be used to test for heteroskedasticity by regressing the squared residuals on the independent variables and testing if they are related. 3. If heteroskedasticity is present but the form is unknown, robust or White standar

Author

hectorcflores1

Language

EN